Tasks
A task is an activity proposed with the purpose of solving a specific NLP problem, generally within the framework of a competition. Below is information about NLP tasks in Spanish from 2013 to the present.
- NLP topic: profiling
- Dataset: MentalRiskES - Depression 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
- NLP topic: profiling
- Dataset: MentalRiskES - Eating disorders 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
- NLP topic: text classification
- Dataset: ClinAIS 2023
- Forum: IberLEF
- Competition: ClinAIS: Automatic identification of sections in clinical documents
- Domain: Health
- Language(s): Spanish
- NLP topic: profiling
- Dataset: MentalRiskES - Depression 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
- NLP topic: profiling
- Dataset: MentalRiskES - Eating disorders 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
MEDDOPLACE: Location Entity Recognition IberLEF 2023
- NLP topic: (named) entity recognition
- Dataset: MEDDOPLACE Corpus: Gold Standard annotations for Medical Documents Place-related Content Extraction
- Forum: IberLEF
- Competition: MEDDOPLACE: MEDical DOcument PLAce-related Content Extraction
- Domain: Health
- Language(s): Spanish
- NLP topic: profiling
- Dataset: MentalRiskES - Undefined disorder 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
- NLP topic: profiling
- Dataset: MentalRiskES - Depression 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
MEDDOPLACE: Location Entity Classification IberLEF 2023
- NLP topic: entity linking
- Dataset: MEDDOPLACE Corpus: Gold Standard annotations for Medical Documents Place-related Content Extraction
- Forum: IberLEF
- Competition: MEDDOPLACE: MEDical DOcument PLAce-related Content Extraction
- Domain: Health
- Language(s): Spanish
- NLP topic: profiling
- Dataset: MentalRiskES - Undefined disorder 2023
- Forum: IberLEF
- Competition: MentalRiskES: Early detection of mental disorders risk in Spanish
- Domain: Health
- Language(s): Spanish
Stance detection IberLEF 2021
- NLP topic: sentiment analysis
- Dataset: VaxxStance-ES
- Forum: IberLEF
- Competition: Stance detection about vaccines
- Domain: Health
- Language(s): Spanish
MEDDOPROF - Named entity recognition IberLEF 2021
- NLP topic: (named) entity recognition
- Dataset: MEDDOPROF
- Forum: IberLEF
- Competition: Recognition, classification and normalization of professions and occupations from medical texts
- Domain: Health
- Language(s): Spanish
Occupation and occupation holder detection IberLEF 2021
- NLP topic: text classification
- Dataset: MEDDOPROF
- Forum: IberLEF
- Competition: Recognition, classification and normalization of professions and occupations from medical texts
- Domain: Health
- Language(s): Spanish
Entity recognition IberLEF 2021
- NLP topic: (named) entity recognition
- Dataset: eHealth-KD-ES
- Forum: IberLEF
- Competition: eHealth Knowledge Discovery
- Domain: Health
- Language(s): Spanish, English
Named entity normalization IberLEF 2021
- NLP topic: text classification
- Dataset: MEDDOPROF
- Forum: IberLEF
- Competition: Recognition, classification and normalization of professions and occupations from medical texts
- Domain: Health
- Language(s): Spanish
Relation extraction IberLEF 2021
- NLP topic: relation extraction
- Dataset: eHealth-KD-ES
- Forum: IberLEF
- Competition: eHealth Knowledge Discovery
- Domain: Health
- Language(s): Spanish, English
Entity classification IberLEF 2019
- NLP topic: (named) entity recognition
- Dataset: MEDDOCAN
- Forum: IberLEF
- Competition: MEDDOCAN: Medical Document Anonymization Track
- Domain: Health
- Language(s): Spanish
Sensitive span detection IberLEF 2019
- NLP topic: information extraction
- Dataset: MEDDOCAN
- Forum: IberLEF
- Competition: MEDDOCAN: Medical Document Anonymization Track
- Domain: Health
- Language(s): Spanish
If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.